Estimating the Number of People in Buildings Using Visual Information

Challa, S; Aboura, K; Ravikanth, K; Deshpande, S

Estimating the Number of People in Buildings Using Visual Information

Challa, S Aboura, K Ravikanth, K Deshpande, S

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Interaction Design and Children (ACM) 07, 2007, pp. 124 - 129
Issue Date:: 2007-01

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Field	Value	Language
dc.contributor.author	Challa, S	en_US
dc.contributor.author	Aboura, K	en_US
dc.contributor.author	Ravikanth, K	en_US
dc.contributor.author	Deshpande, S	en_US
dc.contributor.editor	David Kershaw	en_US
dc.date	2007-02-12	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	Interaction Design and Children (ACM) 07, 2007, pp. 124 - 129	en_US
dc.identifier.isbn	1-4244-0902-0	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11949
dc.description.abstract	Real time pedestrian flow information and the count of people in determined areas is essential for a multitude of management and monitoring functions. The range of applications is wide and the focus here is on the development of statistical methods for people volume estimation in buildings. To count people, visual information from surveillance cameras is used. This is the first of a series of reports, where the problem is divided in estimation classes of increasing difficulty. In the initial stage, probability models are derived for the basic counting scenario, using data gathered from a single camera. The methodology is extended to more complex problems, making use of several cameras covering the same field of view. The consideration of all possible classes of estimation problems leads to solutions that culminate in the assessment of the total number of people in a building.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	Interaction Design and Children (ACM) 07	en_US
dc.relation.ispartof	Interaction Design and Children	en_US
dc.relation.isbasedon	10.1109/IDC.2007.374537	en_US
dc.rights	© 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Estimating the Number of People in Buildings Using Visual Information	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	Adelaide, Australia	en_US
utslib.for	1203 Design Practice and Management	en_US
dc.location.activity	Adelaide, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2007-02-12	en_US

Abstract:

Real time pedestrian flow information and the count of people in determined areas is essential for a multitude of management and monitoring functions. The range of applications is wide and the focus here is on the development of statistical methods for people volume estimation in buildings. To count people, visual information from surveillance cameras is used. This is the first of a series of reports, where the problem is divided in estimation classes of increasing difficulty. In the initial stage, probability models are derived for the basic counting scenario, using data gathered from a single camera. The methodology is extended to more complex problems, making use of several cameras covering the same field of view. The consideration of all possible classes of estimation problems leads to solutions that culminate in the assessment of the total number of people in a building.

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http://hdl.handle.net/10453/11949